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BigML vs MLReef Comparison

Last updated:

BigML

4.7(44 reviews)

Starting at $20 /Month

  • Large Enterprises
  • Medium Business

BigML is an advanced machine learning platform that makes it incredibly simple to access powerful algorithms and predictive models, quickly and easily. Our cloud and on-premises service is seamless to integrate, allowing…

MLReef

Starting at Contact for pricing

  • Large Enterprises
  • Medium Business

MLReef is a machine learning development platform that democratizes ML innovation across your entire organization, making it easy and limitless. Experience the benefits of Distributed ML Development: Up to 5X increase i…

BigML leads on user satisfaction with a 4.7-star rating across 44 reviews.

BigML vs MLReef — at a glance

FeatureBigMLMLReef
Rating4.7 / 5
Reviews44
Starting price$20 /MonthContact for pricing
Free trial No No
Free version No No
Best forLarge Enterprises, Medium Business, Small BusinessLarge Enterprises, Medium Business, Small Business
CategoryData Science and Machine Learning PlatformsData Science and Machine Learning Platforms
PlatformsSaaS/Web/Cloud, Installed - Windows, Installed - MacSaaS/Web/Cloud
APIAvailableAvailable
Support modesOnlineOnline
CertificationsSOC 2, GDPRSOC 2
Data residencyGlobalGlobal

Key differences between BigML and MLReef

  • Pricing: BigML starts at $20 /Month. MLReef pricing is not publicly listed.
  • Deployment: BigML supports SaaS/Web/Cloud, Installed - Windows, Installed - Mac; MLReef supports SaaS/Web/Cloud.

BigML vs MLReef — find the better fit before you commit.

01

Which tool fits your team best

02

Which is actually cheaper for your team size

03

Where each product wins, per real buyers

Most Data Science and Machine Learning Platforms tools look identical on paper. This comparison cuts to the differences that matter — pricing structure, team fit, and what real buyers found after signing up.

BigML - New SaaS Software
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MLReef
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Biggest differences

Start here before you go deeper into features.

BigML

Best for quick, easy predictive modeling with strong visualization and explainability.

Choose if
  • You need fast setup with intuitive web interface and REST APIs.
  • Your team values interactive model visualization and explainability features.
  • You are a small to medium business with data science or analyst expertise.
Consider alternatives if
  • Your organization lacks any data science expertise or resources.
  • You require highly customized or proprietary machine learning algorithms.

MLReef

Best for

Large Enterprises, Medium Business, Small Business

BigML typically suits Large Enterprises and Medium Business. MLReef tends to fit Large Enterprises and Medium Business better. The right choice depends on your team size, workflow, and whether a free trial matters.

Description

BigML is an advanced machine learning platform that makes it incredibly simple to access powerful algorithms and predictive models, quickly and easily. Our cloud and on-premises service is ... Read More about BigML

MLReef is a machine learning development platform that democratizes ML innovation across your entire organization, making it easy and limitless. Experience the benefits of Distributed ML ... Read More about MLReef

Entry Level Pricing

  • Starts from $20 , Billed Yearly
  • Not Available

Free Trial Availability

  • No free trial
  • No free trial

User Ratings

Based on verified Spotsaas reviews

4.7

(44)

Best Company Size

Small BusinessMedium Business
50 to 500 employees
Get pricing help
Get pricing help

Where each option fits best

See where each product is strongest, which teams it fits, and what causes buyers to keep looking — before you commit.

Based on buyer reviews and verified product data collected by Spotsaas.

Strengths

Key strengths

BigML

No key benefits available yet.

MLReef

  • Smooth Collaboration: MLReef provides a centralized platform where data scientists, engineers, and stakeholders can work together in real-time, improving productivity and reducing project timelines.
  • User-Friendly Interface: MLReef's intuitive design lets both experienced data professionals and newcomers work through it easily. This means your team can focus on developing AI solutions instead of struggling with complex tools.
  • Version Control Made Easy: MLReef offers reliable version control for your machine learning models and datasets. This feature confirms that everyone is always working with the most up-to-date resources, reducing errors and improving efficiency.
Best fit

Best fit

BigML

No best-fit guidance available yet.

MLReef

  • 50 to 500 employees
  • Fintech, SaaS, Consulting, and Healthcare
  • Data Scientists, Machine Learning Engineers, AI Researchers, and Business Analysts
Watchouts

Reasons buyers look elsewhere

BigML

No alternatives guidance available yet.

MLReef

  • Lacks specialized ML tools for vertical-specific workflows — teams in healthcare, finance, or manufacturing often need domain-tuned models that MLReef's general platform doesn't provide
  • Interface requires more clicks than competitors like Databricks or Weights & Biases for common tasks like experiment tracking and model deployment
  • Data residency requirements in regulated industries (HIPAA, GDPR, SOC 2) push teams toward platforms with explicit compliance certifications that MLReef hasn't published

Software Demo

Demo

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How do BigML and MLReef Compare on Features?

Total Features

6 Features

3 Features

Unique Features

No unique features

No unique features

Get Quote
Get Quote

Compare BigML and MLReef on pricing

Review starting price, plan structure, and free-trial access side by side so you can see which option fits your budget and buying process.

Pricing Option

      Starting From

      • $20 , Billed Yearly
      • Not Available

      Pricing Plans

      • Free

        • Total tasks and storage: Unlimited

        • Max. dataset size: 16 MB per task

        • Max. parallel tasks: 2

        Show more +

      • Standard

        • Total tasks and storage: Unlimited

        • Max. dataset size: 64 MB per task

        • Max. parallel tasks: 2

        Show more +

      • BigML Lite NEW

        • 5 users

        • 1 organization

        • BigML standard theme

        Show more +

      • Browse all pricing plans
      • Not Available

      Pricing Page

      BigML pricing

      Pricing information not available

      Other Details

      Organization Types supported

      • Small Business
      • Large Enterprises
      • Medium Business
      • Freelancers
      • Individuals
      • Small Business
      • Large Enterprises
      • Medium Business
      • Freelancers
      • Individuals

      Platforms Supported

      • Browser Based (Cloud)
      • Browser Based (Cloud)
      • Mobile - Android
      • Mobile - iOS
      • Installed - Windows
      • Installed - Mac
      • Browser Based (Cloud)
      • Browser Based (Cloud)
      • Mobile - Android
      • Mobile - iOS
      • Installed - Windows
      • Installed - Mac

      Modes of support

      • 24/7 (Live rep)
      • Business Hours
      • Online
      • 24/7 (Live rep)
      • Business Hours
      • Online

      API Support

      • Available
      • Available
      Get help choosing
      Get help choosing

      Security & Compliance

      Certifications, data handling, and security controls for IT and compliance evaluators.

      SOC 2

      ✓ Yes
      ✓ Yes

      HIPAA

      ✗ No
      ✗ No

      GDPR

      ✓ Yes

      ISO 27001

      ✗ No

      Single Sign-On (SSO)

      ✓ Yes

      Multi-Factor Auth (MFA)

      ✓ Yes

      Data Encryption

      ✓ Yes

      Data Residency

      🌐 Global
      🌐 Global

      BigML User Reviews & Rating Comparison

      User Ratings

      No reviews available for the product

      Rating Distribution

      30

      0

      0

      0

      0

      No reviews available for this product

      Spotsaas Editor’s POV generated by AI

      Buyer sentiment

      Users generally praise BigML for its ease of use, quick setup, and strong visualization features, though some desire more advanced customization options.

      What buyers like

      • Ease of use
      • Quick setup
      • Model explainability

      Common complaints

      • Pricing transparency
      • Limited advanced features

      What buyers like

      • **Smooth Collaboration:** MLReef provides a centralized platform where data scientists, engineers, and stakeholders can work together in real-time, improving productivity and reducing project timelines.
      • **User-Friendly Interface:** MLReef's intuitive design lets both experienced data professionals and newcomers work through it easily. This means your team can focus on developing AI solutions instead of struggling with complex tools.
      • **Version Control Made Easy:** MLReef offers reliable version control for your machine learning models and datasets. This feature confirms that everyone is always working with the most up-to-date resources, reducing errors and improving efficiency.

      Common complaints

      • Lacks specialized ML tools for vertical-specific workflows — teams in healthcare, finance, or manufacturing often need domain-tuned models that MLReef's general platform doesn't provide
      • Interface requires more clicks than competitors like Databricks or Weights & Biases for common tasks like experiment tracking and model deployment
      • Data residency requirements in regulated industries (HIPAA, GDPR, SOC 2) push teams toward platforms with explicit compliance certifications that MLReef hasn't published

      Pros and Cons

      • Easy and quick setup with web interface and REST APIs

      • Interactive visualization and model explainability features

      • Open and collaborative platform accessible to all stakeholders

      • Limited information on pricing transparency

      • May lack advanced customization for expert data scientists

      • **Streamlined Collaboration:** MLReef fosters seamless teamwork by providing a centralized platform where data scientists, engineers, and stakeholders can collaborate in real-time, enhancing productivity and reducing project timelines.

      • **User-Friendly Interface:** With its intuitive design, both seasoned data professionals and newcomers can easily navigate MLReef. This means your team can focus on developing AI solutions rather than wrestling with complex tools.

      • **Version Control Made Easy:** MLReef offers robust version control for your machine learning models and datasets. This feature ensures that everyone is always working with the most up-to-date resources, minimizing errors and maximizing efficiency.

      • Lacks specialized ML tools for vertical-specific workflows — teams in healthcare, finance, or manufacturing often need domain-tuned models that MLReef's general platform doesn't provide

      • Interface requires more clicks than competitors like Databricks or Weights & Biases for common tasks like experiment tracking and model deployment

      Positive Reviews

      No reviews available for the product

      No reviews available for the product

      Used BigML or MLReef? Tell buyers what actually differs.

      Media and Screenshots

      Screenshots

      Dashboard

      3 Screenshots

      mlreef

      3 Screenshots

      Videos

      video-0

      3 Videos

      video-0

      2 Videos

      Top Alternatives to BigML and MLReef in 2026

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      Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

      Frequently asked questions

      Which is better, BigML or MLReef?
      BigML edges out the other on user ratings (4.7 vs -1.0). That said, the best pick depends on your use case — use the comparison tables above to evaluate each dimension.
      Do BigML and MLReef offer a free trial?
      Neither BigML nor MLReef currently lists a free trial.
      What is the starting price of BigML vs MLReef?
      BigML starts at $20 /Month. MLReef starts at Contact for pricing.
      What are the top alternatives to BigML?
      Top alternatives to BigML include SAS Advanced Analytics, Qualified, Workvivo, Backprop, Neuro.
      What are the top alternatives to MLReef?
      Top alternatives to MLReef include Wolfram Mathematica, DefinedCrowd, Kortical, IBM Watson Machine Learning Accelerator, H2O Driverless AI.